QUB | Archaeology and Palaeoecology | The 14Chrono Centre

Manual for psimpoll and pscomb

References

Aitchison, J. 1986. The statistical analysis of compositional data. Chapman and Hall, London.

Bennett, K.D. 1994. Confidence intervals for age estimates and deposition times in late-Quaternary sediment sequences. The Holocene 4, 337-348.

Bennett, K.D. 1996. Determination of the number of zones in a biostratigraphical sequence. New Phytologist 132, 155-170.

Birks, H.J.B. & Gordon, A.D. 1985. Numerical methods in Quaternary pollen analysis. Academic Press, London.

Birks, H.J.B., Line, J.M., Juggins, S., Stevenson, A.C. & Ter Braak, C.J.F. 1990. Diatoms and pH reconstruction. Philosophical Transactions of the Royal Society of London 327, 263-278.

Birks, H.J.B. & Line, J.M. 1992. The use of rarefaction analysis forestimating palynological richness from Quaternary pollen-analytical data. The Holocene 2, 1-10.

Cleveland, W.S. 1979. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74, 829-836.

Cleveland, W.S. & Devlin, S.J.1988. Locally weighted regression: an approach to regression analysis by local fitting. Journal of the American Statistical Association 83, 596-610.

Gauthier, T.D. 2001. Detecting Trends Using Spearman's Rank Correlation Coefficient. Environmental Forensics 2, 359-362.

Grimm, E.C. 1987. CONISS: a FORTRAN 77 program for stratigraphically constrained cluster analysis by the method of incremental sum of squares. Computers & Geosciences 13, 13-35

Jackson, D.A. 1993. Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74, 2204-2214

Maher, L.J. Jr 1972. Nomograms for computing 0.95 confidence limits of pollen data. Review of Palaeobotany and Palynology 13, 85-93.

Maher, L.J. Jr 1981. Statistics for microfossil concentration measurements employing samples spiked with marker grains. Review of Palaeobotany and Palynology 32, 153-191.

Marsaglia, G. & Zaman, A. 1994. Some portable very-long-period random number generators. Computers in Physics 8, 117-121.

Parratt, L.G. 1961. Probability and experimental errors in science: an elementary survey. Wiley, New York.

Prentice, I.C. 1980. Multidimensional scaling as a research tool in Quaternary palynology: a review of theory and methods. Review of Palaeobotany and Palynology 31, 71-104.

Press, W.H., Teukolsky, S.A., Vetterling, W.T. & Flannery, B.P. 1992. Numerical recipes in C: the art of scientific computing. 2nd ed. CUP, Cambridge.

Sokal, R.R. & Rohlf, F.J. 1969. Biometry: the principles and practice of statistics in biological research. W.H. Freeman, San Francisco.

Walker, D. & Wilson, S.R. 1978. A statistical alternative to the zoning of pollen diagrams. Journal of Biogeography 5, 1-21.

Zaman, A. & Marsaglia, G. 1991. A new class of random number generators. Annals of Applied Probability 1, 462-480.


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